Discriminant Analysis by Hierarchical Coupling in EDDA Context
Friedman(1996) proposed a strategy for the classification multigroup problem. He build independently a classifier for each pair of classes and then combined all the pairwise decisions to form the final decision. We suggest an alternate approach in the context of EDDA models. Our technique, the hierarchical coupling, is also based on pairwise decisions but we abandon the independence and work on nested pairs of classes. We evaluate the performance of hierarchical coupling on simulated and real datasets.
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